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Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-37

  • This period covers praise given between 2023-12-11 and 2023-12-29.
  • We allocated a total of 180.876582278481 TEC tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 3 quantifiers per praise instance.
  • Praise receiver names were not hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating distribution¶

Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
77.6666666666667 eenti for all of the hard work he has put into the TEC! It's going to be a tough road ahead without him, but he has laid the groundwork for our Grants Program! Thank you so much! Go do big things in the space!
66.3333333333333 Tamarandom#9361 for project managing the TEC Migration process to OP. Not an easy task, but it is going very smoothly!
48.0 Griff (💜,💜)#8888 for being the leader that he is, and always being available to the TEC for advice and guidance as we move forward with the OP migration.
48.0 sem(🌸,🐝)#0161 for planning the dress rehearsal and all the small details that go into it.
43.6666666666667 sem(🌸,🐝)#0161 For providing a master class in infrastructure migration project management on the OP migration. Masterfully planned, managed, and executed. So much praise!!!!
41.0 sem(🌸,🐝)#0161 for going through the TEC OP Migration work and working on the Smart-Contracts for OP!
38.3333333333333 ygg_anderson#4998 for this great documentation on TQF! https://forum.1hive.org/t/water-shared-liquidity-proposal/5019/38
36.6666666666667 Griff (💜,💜)#8888 For providing a master class in infrastructure migration project management on the OP migration. Masterfully planned, managed, and executed. So much praise!!!!
34.0 ygg_anderson#4998 for all the work on the data science front and TQF! Loved seeing the new look of the app and hope to use it soon
29.6666666666667 eenti for all the time and effort you have invested into the TEC since you joined! I remember when we just joined the Transparency WG! All the best in your future endeavours!

Praise Reward Distribution¶

We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.

Out[13]:

Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.

Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .

Praise score by quantifier -- outliers among the quantifiers?¶

Let's see how different quantifiers behaved by showing the range of praise scores they gave.

To interpret the box plot:

  • Bottom horizontal line of box plot is minimum value

  • First horizontal line of rectangle shape of box plot is First quartile or 25%

  • Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.

  • Third horizontal line of rectangle shape of box plot is third quartile or 75%

  • Top horizontal line of rectangle shape of box plot is maximum value.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 61 praises, 11 (18.03%) do not agree on duplication

Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.

Agreement on dismissal¶

Out[25]:

Among 61 praises, 1 (1.64%) do not agree on dismissal

Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.